3 papers
cs.CV2026
Mem-World: Memory-Augmented Action-Conditioned World Models for Persistent Robot Manipulation
Zirui Zheng, Jiaqian Yu, Xiongfeng Peng +7
Action-conditioned world models have emerged as a promising paradigm for robot learning, offering a scalable alternative to costly real-world experimentation by generating action-c…
cs.RO2026
HIMM: Human-Inspired Long-Term Memory Modeling for Embodied Exploration and Question Answering
Ji Li, Bo Wang, Jing Xia +2
Deploying Multimodal Large Language Models as the brain of embodied agents remains challenging, particularly under long-horizon observations and limited context budgets. Existing m…
cs.HC2024
Thing2Reality: Transforming 2D Content into Conditioned Multiviews and 3D Gaussian Objects for XR Communication
Erzhen Hu, Mingyi Li, Jungtaek Hong +5
During remote communication, participants often share both digital and physical content, such as product designs, digital assets, and environments, to enhance mutual understanding.…